Job Summary

• This role provides technical leadership across the full lifecycle of machine learning systems powering a new matching platform within a global financial markets infrastructure company.
• The successful candidate will define ML architecture, establish engineering standards, and drive MLOps maturity to ensure models are scalable, secure, and compliant with enterprise-grade regulations.
• LSEG offers a collaborative culture that values diversity, innovation, and continuous improvement, providing tailored benefits including healthcare, retirement planning, and paid volunteering days.

Matching Summary

Salary

Not specified; Not specified; Benefits include healthcare, retirement planning, paid volunteering days, and wellbeing initiatives

Skills & Requirements

Key Requirements

• Proven track record architecting production ML systems at scale
• Expert-level Python and ML framework proficiency
• Strong thought leadership in MLOps and model lifecycle management
• Experience designing explainability systems and reason codes
• Bachelor's degree in STEM subject (desirable Masters/PhD)

Work Rights